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quality of information retrieval. The contributions of our research are twofold. First, the existing ranking algorithms of search engine are classified. And we extend expression of queries by “keyword and ”, instead of keywords only. Second, a new ranking algorithm based on user feedback and semantic tags is
Currently keyword search is a prominent data retrieval method for the Web because the simple and efficient nature of the keyword processing allows it to process a large amount of information with fast response. However, keyword search approaches do not formally capture the clear meaning of a keyword query and fail to
academic field. Both of this plagiarism is hardly detected due to the difference in their fingerprints. Plagiarism detection tools available are not capable to detect such plagiarism cases. In this research, we propose a new approach in detecting both cross language and semantic plagiarism. We consider Bahasa Melayu as the
Web is becoming a programmable platform, with countless services blooming everyday in various forms like Feeds, REST APIs and Widgets, etc. Although the existing technologies, such as Mashups, have reduced the challenges to build new applications by composing these services, it's still far from enabling the non
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.